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Algorithms Specialization

4.9(22,000)·380K enrolled
Intermediate 200 hours English Specialization Certificate Certificate
Editor's Pick
Roughgarden's algorithms course — the closest online equivalent to a Stanford CS algorithms class, not just interview prep.

About this course

Tim Roughgarden's Algorithms Specialization is the most well-regarded algorithms credential available online — four courses moving from sorting and divide-and-conquer through graph algorithms (Dijkstra, BFS/DFS, SCCs), greedy algorithms, dynamic programming, and NP-completeness. Roughgarden's teaching is exceptional: rigorous mathematical analysis combined with genuine enthusiasm for the subject.

Unlike most algorithms courses that focus purely on interview preparation, this specialization provides the mathematical foundations of algorithm analysis — proving correctness, deriving time complexity from first principles, and understanding when and why algorithms work. It's the closest online equivalent to Stanford's CS161 undergraduate algorithms course, and is frequently recommended as the benchmark for online algorithms education.

What you'll learn

Analyze algorithm complexity using asymptotic analysis and recurrences
Implement and prove correctness of divide-and-conquer algorithms
Apply graph algorithms including Dijkstra, Bellman-Ford, and Kruskal's
Solve problems with dynamic programming and greedy strategies
Understand NP-completeness and identify intractable problems

This course includes

200h
On-demand video
Yes
Certificate
Yes
Mobile access
English
Language
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Instructor

TR
Tim Roughgarden
Coursera instructor
380K+ learners4 courses4.9 instructor rating

Taught by Tim Roughgarden, Professor of Computer Science at Columbia University and formerly Stanford, a leading algorithms researcher.

Requirements

  • Programming experience; mathematical maturity (proofs, induction)

Who this course is for

  • CS graduates who want rigorous algorithms foundations beyond interview prep
  • Software engineers preparing for technical interviews who want depth
  • Self-taught developers who want to formalize their algorithms knowledge

About this provider

CO
Coursera
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Frequently asked questions

Different purposes — CLRS is the definitive reference text; Roughgarden's specialization is better as a learning experience. Most practitioners use both.
The assignments support multiple languages — the lectures are language-agnostic, focusing on algorithmic thinking.
Paid
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